Day 1. 20 November 2023   8:30 am – 5:00 pm (Australian Eastern Daylight Time (AEDT))


Opening Speech
Distinguished Professor Saeid Nahavandi
Keynote Speech – Enhancing Security in Artificial Intelligence Systems
Professor Yang Xiang
Basics of autonomous driving.
Dr. Ibrahim Hossain
Electric Vehicle Research, Transportation Systems Engineering
A/Professor Ambarish Kulkarni
Collaborative Control for Multi-agent Systems – part 1
Professor Peng Shi
Perception, deep learning, decision fusion
Dr. Parham Kebria

Day 2. 21 November 2023   8:30 am – 5:00 pm (Australian Eastern Daylight Time (AEDT))

Opening Speech
Distinguished Professor Saeid Nahavandi
International Defence and Security (IDEaS) Symposium 2023
  • Group Captain Patrick Joseph Del Guidice
  • Dr. Ming Hou
    Defence Research and Development Canada
  • Lieutenant Colonel Edgar Reuber
    EUROCONTROL and seconded German Air Force
  • Dr Dale Richards
    Thales, UK
  • Kevin Di Filippo
    Lockheed Martin
  • Dr. Edward Tunstel
    Motiv Space Systems Inc.
  • Lieutenant-Colonel David Dunwoody
    Royal Canadian Air Force
  • Professor Simon Reay Atkinson
    Captain, Royal Australian Navy, Australia
  • Jawahar Bhalla
  • Phil Crothers
    Boeing Australia
  • Dr. Andrew Lucas
  • Dr. Braden McGrath
    MITRE Australia
Aerial path planning for UAVs
  • Automated road finding in aerial images
  • Efficient road tracking for autonomous navigation
Associate Professor Hailing Zhou
System Architecture development for autonomous driving
  • Safety aspects in autonomous driving and the development of safety-centric autonomous systems
  • Role of test-driven development in autonomous systems engineering
Dr. Adetokunbo Arogbonlo

Day 3. 22 November 2023   8:30 am – 5:00 pm (Australian Eastern Daylight Time (AEDT))

Opening Speech
Distinguished Professor Saeid Nahavandi
Keynote speech: Evolving Deep Neural Networks for Image, Video and Audio Classification
Professor Li Zhang,
Royal Holloway University of London, UK
Recent advances in Generalized Zero-Shot Learning
Dr Farhad Pourpanah
Radiation hardened integrated circuit chips for particle physics experiments, space and defence
Dr. Jafar Shojaii
Autonomous Data-based Learning Systems: Design and Development
Professor CP Lim
EV and Autonomous Vehicle Design Considerations
Associate Professor Mehran Motamed Ektesabi
Towards Personalized Autonomous Driving: Why and How
Why personalising the driving style? Personalisation journey:
  • Data sources (passenger, vehicle, environment)
  • Trusted AI algorithms for data processing and decision-making
A/Professor Abbas Khosravi
Programmatic control systems
  • Logic-based control systems
  • Control actions for autonomous driving systems
  • Actuation profiling of autonomous driving systems
Control theory for autonomous driving
  • Multi-modal control scenarios
  • Robust adaptive control schemes
  • Time delay and stable responses
  • The development pipeline for autonomous driving
  • From sensory information to driving actuation
Dr. Parham Kebria
Team Swinburne FSAE launch
Click for event details

Day 4. 23 November 2023   8:30 am – 5:00 pm (Australian Eastern Daylight Time (AEDT))

Opening Speech
Distinguished Professor Saeid Nahavandi
Keynote speech – Robotic Applications of Disassembly to Support Autonomous Remanufacturing
Professor Mozafar Saadat,
Birmingham University, UK
Navigating the Ideas to Commercialisation path for AI-Enabled Software
Dr. Soo Beng
Universal motion simulator as a testbed of autonomous driving
A/Professor Houshyar Asadi
Vehicle Dynamics, Path Tracking Controller, Comfort Improvement, and Actuation for autonomous driving
Dr. Chalak Qazani
Human-centred data collection and analysis for safety and fine-tuning of the driving experience
Lars Kooijman
Robust Vehicle Mass Estimation Using Recursive Least M-Squares Algorithm for Intelligent Vehicles
Professor Chee Pin Tan
5G with AI; enabler for autonomous and intelligent transportation systems
5G and beyond communication technologies can provide ultra-reliable, low-latency connectivity for seamless real-time coordination and data exchange enabling the AI-powered transportation system to enhance road safety, reduce traffic congestion, and improve transportation efficiency.
5G and AI for:
  1. Autonomous Driving: Enabling self-driving vehicles for safer and more efficient transportation.
  2. Predictive Maintenance of Vehicles: Enhancing vehicle maintenance by predicting failures in advance.
  3. Infrastructure Maintenance: Proactively maintaining transportation infrastructure.
  4. Transportation Reliability: Ensuring dependable and punctual transportation services.
  5. Smart Traffic Control: Optimizing traffic flow and management for reduced congestion.
  6. Sustainability and Emission Monitoring: Monitoring and reducing emissions to promote environmentally friendly transportation.
Dr. Ali Yavari
Big data imputation, enhancement and denoising by graph signal processing for knowledge discovery and presentation
Professor Jingxin Zhang
Opportunities and Challenges for Operationalizing Urban Air Mobility
Professor Abdollah Homaifar
Latching control of wave energy converters using tunable electrical load
Uzair bin Tahir
Robot Idle Energy Optimisation and Robot Life Span Improvement Paradigm
Sash Stanceski
IEEE Standards Workshop on Metaverse and Artificial Intelligence
In conjunction with IEEE EIngineering Informatics
  • Prof. Katina Michael
  • Dr. Roba Abbas
  • Jose Moreira, General Manager, Siemens
  • A/Prof. Mehdi Seyedmahmoudian
  • Srikanth Chandrasekaran

Day 5. 24 November 2023   8:30 am – 5:00 pm (Australian Eastern Daylight Time (AEDT))

Opening Speech
Distinguished Professor Saeid Nahavandi
Collaborative Control for Multi-agent Systems – part 2
Professor Peng Shi
Software Testing and Security Issues in AI
Dr Xiaogang Zhu
Artificial Intelligence Facilitated Smart Energy Systems
Dr. Samson Yu
Innovations in Naval Cyber Protection
Professor Mehrdad Saif